Energy cost reduction robust optimization for meeting scheduling in smart commercial buildings

In recent years, the electricity load of commercial buildings has been increasing rapidly, and the intelligent power consumption of commercial buildings has been an important area in demand response management (DRM). This paper investigates the problem of optimal meeting scheduling in commercial buildings. The optimization objective is to minimize the electricity payments of meeting rooms in commercial buildings with the meeting requirements satisfied. By considering the constraints such as consumption characteristics of meeting rooms and meeting time, the meeting scheduling problem in commercial buildings is modeled. Based on the deterministic electricity price forecasting, a deterministic MILP optimization model for meeting scheduling is established. Based on the probabilistic electricity price forecasting, a robust MILP optimization model for meeting scheduling is established with the incorporation of probabilistic electricity price. Simulation results of a numerical example verify the effectiveness of the proposed MILP model in solving the problem of meeting scheduling problem in commercial building.